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Example 1 Analyze Scatter Plots Example 2 Find a Line of Fit Example 3 Linear Interpolation

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Page 1: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Example 1 Analyze Scatter Plots

Example 2 Find a Line of Fit

Example 3 Linear Interpolation

Page 2: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Scatter Plots

• A scatter plot is a graph in which two sets of data are plotted as ordered pairs in a coordinate plane.

• Scatter plots are used to investigate a relationship between two quantities.

Page 3: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Types of relationships

Page 4: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Lines of fit

• If the data points do not all lie on a line, but are close to a line, you can draw a line of fit.

• The line of fit describes a trend line.

• There is a statistical method to find the line of best fit, that’s the line that most closely approximates the data.

Page 5: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Making Predictions

• You can use the line of best fit to make predictions about the data.

• Linear extrapolation is predicting values that are outside the range of the data.

• Linear interpolation is predicting values that are inside the range of data.

Page 6: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Tongue Twister Activity

Page 7: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Tongue Twister

Three Witches Wished

Three Wishes, But Which

Witch Wished Which Wish?

Page 8: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Tongue Twister Data

# of People 2nd Block Time

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

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30

Page 9: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

• Discuss tongue twister activity and finish handout.

Page 10: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Determine whether thegraph shows a positivecorrelation, a negative correlation, no correlation. If there is a positive or negative correlation, describe it.

The graph shows average personal income forU.S. citizens.

Answer: The graph shows a positive correlation. With each year, the average personal income rose.

Page 11: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Determine whether thegraph shows a positivecorrelation, a negative correlation, no correlation. If there is a positive or negative correlation, describe it.

The graph shows the average students per computer in U.S. public schools.

Answer: The graph shows a negative correlation. With each year, more computers are in the schools, making the students per computer rate smaller.

Page 12: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Determine whether each graph shows a positivecorrelation, a negative correlation, no correlation. If there is a positive or negative correlation, describe it.

a. The graph shows thenumber of mail-order prescriptions.

Answer: Positive correlation; with each year, the number of mail-order prescriptions has increased.

Page 13: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Determine whether each graph shows a positivecorrelation, a negative correlation, no correlation. If there is a positive or negative correlation, describe it.

Answer: no correlation

b. The graph shows thepercentage of voterparticipation in Presidential Elections.

Page 14: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

The table shows the world population growing at a rapid rate.

Year Population (millions)

1650 500

1850 1000

1930 2000

1975 4000

1998 5900

Page 15: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Draw a scatter plotand determine whatrelationship exists, if any, in the data.

Let the independentvariable x be the yearand let the dependentvariable y be thepopulation (in millions).

The scatter plot seems to indicate that as the year increases, the population increases. There is a positive correlation between the two variables.

Page 16: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Draw a line of fit for the scatter plot.

No one line will pass through all of the data points. Draw a line that passes close to the points. A line is shown in the scatter plot.

Page 17: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Write the slope-intercept form of an equation for equation for the line of fit.

The line of fit shown passes through the data points (1850, 1000) and (1998, 5900).

Step 1 Find the slope.

Slope formula

Letand

Simplify.

Page 18: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Step 2 Use m = 33.1 and either the point-slope form or the slope-intercept form to write the equation.You can use either data point. We chose (1850, 1000).

Point-slope form Slope-intercept form

Answer: The equation of the line is .

Page 19: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Check Check your result by substituting (1998, 5900) into

Line of fitequation

Subtract.

The solution checks.

Replace x with 1998 and y with 5900.

Multiply.

Page 20: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

The table shows the number of bachelor’s degrees received since 1988.

Years Since 1988 2 4 6 8 10

Bachelor’s Degrees Received (thousands)

1051 1136 1169 1165 1184

Source: National Center for Education Statistics

Page 21: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

a. Draw a scatter plot and determine what relationship exists, if any, in the data.

Answer: The scatter plot seems to indicate that as the number of years increase, the number of bachelor’s degrees received increases. There is a positive correlation between the two variables.

Page 22: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

b. Draw a line of best fit for the scatter plot.

c. Write the slope-intercept form of an equation for the line of fit.

Answer: Using (4, 1137) and (10, 1184),

Page 23: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Use the prediction equationwhere x is the year and y is the population (in millions), to predict the world population in 2010.

Original equation

Replace x with 2010.

Simplify.

Answer: 6,296,000,000

Page 24: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Use the equation where x is the years since 1988 and y is the number of bachelor’s degrees (in thousands), to predict the number of bachelor’s degrees that will be received in 2005.

Answer: 1,204,000

Page 25: Lesson 7 Contents Example 1Analyze Scatter Plots Example 2Find a Line of Fit Example 3Linear Interpolation

Summary

• What is a scatter plot?

• What is the line of best fit or trend line?– Why is it useful?– How can you come up with an equation for

the line of best fit?

Assignment: